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Artificial intelligence systems increasingly generate text intended to provide social and emotional support. Understanding how users perceive empathic qualities in such content is therefore critical. We examined differences in perceived…

Computers and Society · Computer Science 2026-02-20 Jonas Festor , Ivo Snels , Bennett Kleinberg

Large Language Models (LLMs) are huge artificial neural networks which primarily serve to generate text, but also provide a very sophisticated probabilistic model of language use. Since generating a semantically consistent text requires a…

Computation and Language · Computer Science 2024-04-09 Romuald A. Janik

In recent years, written language, particularly in science and education, has undergone remarkable shifts in word usage. These changes are widely attributed to the growing influence of Large Language Models (LLMs), which frequently rely on…

Computation and Language · Computer Science 2025-08-04 Bryce Anderson , Riley Galpin , Tom S. Juzek

Progress in natural language generation research has been shaped by the ever-growing size of language models. While large language models pre-trained on web data can generate human-sounding text, they also reproduce social biases and…

Computation and Language · Computer Science 2023-06-06 Celine Wald , Lukas Pfahler

The introduction of ChatGPT has garnered widespread attention in both academic and industrial communities. ChatGPT is able to respond effectively to a wide range of human questions, providing fluent and comprehensive answers that…

Computation and Language · Computer Science 2023-01-19 Biyang Guo , Xin Zhang , Ziyuan Wang , Minqi Jiang , Jinran Nie , Yuxuan Ding , Jianwei Yue , Yupeng Wu

Large Language Models (LLMs) offer numerous applications, the full extent of which is not yet understood. This paper investigates if LLMs can be applied for editing structured and semi-structured documents with minimal effort. Using a…

Machine Learning · Computer Science 2024-09-16 Irene Weber

As leading examples of large language models, ChatGPT and Gemini claim to provide accurate and unbiased information, emphasizing their commitment to political neutrality and avoidance of personal bias. This research investigates the…

Computation and Language · Computer Science 2025-04-10 Dogus Yuksel , Mehmet Cem Catalbas , Bora Oc

There has been concern about ideological basis and possible discrimination in text generated by Large Language Models (LLMs). We test possible value biases in ChatGPT using a psychological value theory. We designed a simple experiment in…

Computation and Language · Computer Science 2023-04-10 Ronald Fischer , Markus Luczak-Roesch , Johannes A Karl

The improved generative capabilities of large language models have made them a powerful tool for creative writing and storytelling. It is therefore important to quantitatively understand the nature of generated stories, and how they differ…

Computation and Language · Computer Science 2024-11-26 Xi Yu Huang , Krishnapriya Vishnubhotla , Frank Rudzicz

Generating poetry has become a popular application of LLMs, perhaps especially of OpenAI's widely-used chatbot ChatGPT. What kind of poet is ChatGPT? Does ChatGPT have its own poetic style? Can it successfully produce poems in different…

Computation and Language · Computer Science 2024-11-01 Melanie Walsh , Anna Preus , Elizabeth Gronski

Large Language Models (LLMs) have demonstrated surprising performance on many tasks, including writing supportive messages that display empathy. Here, we had these models generate empathic messages in response to posts describing common…

Computation and Language · Computer Science 2024-03-28 Yoon Kyung Lee , Jina Suh , Hongli Zhan , Junyi Jessy Li , Desmond C. Ong

This study investigates the efficacy of large language models (LLMs) as tools for grading master-level student essays. Utilizing a sample of 60 essays in political science, the study compares the accuracy of grades suggested by the GPT-4…

General Economics · Economics 2024-06-25 Magnus Lundgren

We conduct a quantitative analysis contrasting human-written English news text with comparable large language model (LLM) output from six different LLMs that cover three different families and four sizes in total. Our analysis spans several…

Computation and Language · Computer Science 2024-09-04 Alberto Muñoz-Ortiz , Carlos Gómez-Rodríguez , David Vilares

Large language models (LLMs) are increasingly used in the social sciences to simulate human behavior, based on the assumption that they can generate realistic, human-like text. Yet this assumption remains largely untested. Existing…

Computation and Language · Computer Science 2025-11-26 Nicolò Pagan , Petter Törnberg , Christopher A. Bail , Anikó Hannák , Christopher Barrie

Large language models are powerful systems that excel at many tasks, ranging from translation to mathematical reasoning. Yet, at the same time, these models often show unhuman-like characteristics. In the present paper, we address this gap…

Computation and Language · Computer Science 2023-06-08 Marcel Binz , Eric Schulz

As artificial intelligence (AI) models become an integral part of everyday life, our interactions with them shift from purely functional exchanges to more relational experiences. For these experiences to be successful, artificial agents…

Computation and Language · Computer Science 2025-04-15 Sandra C. Matz , Heinrich Peters , Moran Cerf , Eric Grunenberg , Paul W. Eastwick , Mitja D. Back , Eli J. Finkel

There are concerns that the ability of language models (LMs) to generate high quality synthetic text can be misused to launch spam, disinformation, or propaganda. Therefore, the research community is actively working on developing…

Computation and Language · Computer Science 2021-06-04 Nirav Diwan , Tanmoy Chakravorty , Zubair Shafiq

ChatGPT has become a global sensation. As ChatGPT and other Large Language Models (LLMs) emerge, concerns of misusing them in various ways increase, such as disseminating fake news, plagiarism, manipulating public opinion, cheating, and…

Machine Learning · Computer Science 2023-04-06 Alessandro Pegoraro , Kavita Kumari , Hossein Fereidooni , Ahmad-Reza Sadeghi

Human and model-generated texts can be distinguished by examining the magnitude of likelihood in language. However, it is becoming increasingly difficult as language model's capabilities of generating human-like texts keep evolving. This…

Computation and Language · Computer Science 2024-10-10 Yang Xu , Yu Wang , Hao An , Zhichen Liu , Yongyuan Li

Interacting with human via high-quality multi-turn dialogues is a key feature of large language models (LLMs). However, human-based evaluation of such capability involves intensive manual labor. This report provides a preliminary evaluation…

Computation and Language · Computer Science 2023-10-23 Haodong Duan , Jueqi Wei , Chonghua Wang , Hongwei Liu , Yixiao Fang , Songyang Zhang , Dahua Lin , Kai Chen
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